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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia;

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Uncertainty Reasoning for the Semantic Web III

This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the;

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The Semantic Web

scalability; linked data; machine learning; mobile web, sensors, and semantic streams; natural language processing and information retrieval;

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The Semantic Web

scalability; linked data; machine learning; mobile web, sensors, and semantic streams; natural language processing and information retrieval;

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Web Reasoning and Rule Systems

The Semantic Web aims at allowing knowledge to be freely accessed and - changed by software. It is now widely recognized that if the;

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The Semantic Web Latest Advances and New Domains

, Semantic Web and Web Science, Semantic Data Management, Big data, Scalability, Natural Language Processing and Information Retrieval, Machine;

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The Semantic Web. Latest Advances and New Domains

tracks of the research conference were complemented with new tracks focusing on linked data; machine learning; mobile web, sensors and semantic;

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Advances in Artificial Intelligence

representation, reasoning and logic, machine learning, multiagent systems, multidisciplinary topics and applications, metaheuristics, uncertainty;

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Advances in Artificial Intelligence

, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics;

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Scalable Uncertainty Management

, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology;

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Web Reasoning and Rule Systems

agents, reasoning, machine learning, knowledge extraction and IR technologies, large-scale data management and reasoning on the web of data, data;

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Scalable Uncertainty Management

, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology;

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Reasoning Web. Declarative Artificial Intelligence

various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The;

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Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources

in combination with Semantic Web sources such as DBpedia and OpenCyc allows reasoning to improve the suggested labels. An extensive formal evaluation;

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Uncertainty, ECSQARU 2015, held in Compiegne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69;

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Learning Spark SQL

Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API;

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

functions; conditionals; credal sets, credal networks; decision theory, decision making and reasoning under uncertainty; fuzzy sets, fuzzy logic;

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Artificial Intelligence

. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;

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Artificial Intelligence

. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;

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Artificial Intelligence

. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;

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Artificial Intelligence

. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;

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Reasoning about Uncertainty

Uncertainty is a fundamental and unavoidable feature of daily life; in order to deal with uncertaintly intelligently, we need to be able to;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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MPEG-4 Beyond Conventional Video Coding

of existing MPEG-2 and H.263 standards but also contributed key innovative solutions for new multimedia applications such as real-time video streaming;

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Building Web Applications with Erlang

Built to support fault-tolerant telecom infrastructure, Erlang shines at reliability and scalability. Combining the Erlang language with;

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AAAI-90

. Machine Learning. Natural Language: generation and understanding; syntax, speech, dialogue. Perception and Signal Understanding: vision;

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Principles and Practice of Semantic Web Reasoning

Here are the proceedings of the 4th International Workshop on Principles and Practice of Semantic Web Reasoning, PPSWR 2006. The book;

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